Senior Applied AI Engineer

Job Title Senior Applied AI Engineer Job Description As a Senior Applied AI Engineer, you’ll take ownership of designing, building, and deploying advanced LLM-based and agentic systems that extract and reason over medical records and application data. You’ll experiment, iterate, and ship quickly, working alongside a cross-functional team in a dynamic, fast-fail environment. You'll own the evals that prove your system works, and the guardrails that keep it working once real users depend on it.

Your work will have a direct impact on our product and business as we push the boundaries of what’s possible with AI. What you will be Doing Build & Iterate Fast: Design, experiment, and deploy production LLM and agentic systems. Quickly test hypotheses, optimise, and iterate based on real-world feedback and eval results.

Own Evals: Build and maintain the evaluation harness that tells us whether a model or prompt change made things better or worse. Design Agentic Workflows: Architect multi-step, tool-using pipelines with explicit state, guardrails, and human-in-the-loop review where the stakes demand it. Lead Innovation: Push the envelope with cutting-edge LLM and agentic techniques to solve hard problems in language understanding, extraction, and reasoning.

Shape the Product : Collaborate with Product, Design, and Underwriting SMEs to align ML capabilities with product goals and real domain constraints. Scale & Optimise : Take systems from prototype to production, optimising for latency